Starter app for fastai v3 model deployment on Render
Role in this project:
MLOps Engineer Contributions:37 commits, 27 PRs, 30 pushes in 4 months
Contributions summary:Sean primarily focused on adapting the `fastai-v3` model deployment for CPU environments and optimizing the application's setup. Their contributions include modifying the code to load the model using CPU, correcting import statements, and updating the front-end and back-end files. They also corrected dependencies and formatted the code for improved compatibility, and also updated the model and dependencies. This ensured a smooth deployment of the fastai model on the Render platform.
fastairendermachine-learningmodel-deployment
Java library for the Stripe API.
Role in this project:
Back-end Developer Contributions:48 commits in 1 year 7 months
Contributions summary:Sean primarily contributed to the core functionality of the Java library for the Stripe API. They implemented base64 encoding and decoding for security, added API key validation to ensure secure communication, and expanded the API client to support new customer creation methods, including card token integration. These changes demonstrate a focus on enhancing the library's functionality, security, and feature set related to Stripe's API.
javastripe-apistripestripe-sdk